Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the agent's behavior (knows user's data, can answer/compare/advise/analyze) and an important prerequisite (requires Anthropic API key in Settings). Annotations already indicate non-read-only, open-world, non-idempotent behavior; the description adds dependency and capability context without contradicting the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four concise sentences, each earning its place: function, capabilities, usage directive, and prerequisite. No filler or repetition. The most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with only two well-documented parameters and no output schema, the description covers the essential context: what it does, what it can assist with, when to use it, and a required configuration. The lack of response format or side-effect details is a minor gap, but the open-world annotation suggests unpredictability that is implicitly captured.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% of parameters with meaningful descriptions (model enum with speed/cost notes, message with max length and content description). The description adds little beyond what the schema already provides, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb ('Delegate') and resource ('Grabblist's built-in AI assistant'), then immediately lists concrete capabilities (answer questions, compare items, give shopping advice, analyze saved products). This clearly distinguishes the tool from sibling CRUD tools like add_item or update_item.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit usage direction: 'Use this when you want a second opinion or a specialized shopping assistant perspective.' This clearly signals when to invoke the tool. It stops short of naming specific alternatives or giving when-not-to-use guidance, but the context is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.